Senior Backend Software Engineer - Cloud & AIOverview / Summary We are seeking a Senior Software Engineer - Cloud & AI Platforms to design, develop, and support cloud-native applications, enterprise integrations, developer platforms, and AI-enabled solutions. This role focuses on backend engineering, Google Cloud Platform (GCP), DevOps, platform engineering, and modern software development practices.
The ideal candidate will have experience building scalable APIs, cloud services, CI/CD pipelines, enterprise integrations, and AI-powered applications, while contributing across the full application stack as needed.
Key Responsibilities - Build and enhance AI-enabled applications supporting engineering, business, and operational workflows.
- Integrate applications with enterprise knowledge sources, business systems, workflow platforms, and AI services.
- Develop reusable platform capabilities supporting retrieval, orchestration, prompt management, evaluation, telemetry, and feedback workflows.
- Support implementation of emerging AI architectures, including Retrieval-Augmented Generation (RAG), agentic workflows, Model Context Protocol (MCP), and intelligent workflow automation.
- Evaluate new technologies and contribute to reusable AI engineering standards, frameworks, and best practices.
- Design, develop, and support cloud-native applications and enterprise integrations.
- Develop and support scalable APIs, cloud services, CI/CD pipelines, and developer platforms.
Required Qualifications - Bachelor's degree.
- 10+ years of IT experience.
- 8+ years of software development experience.
- Senior-level engineering experience with practical experience in two coding languages or advanced practical experience in one coding language.
- Hands-on experience with Google Cloud Platform (GCP).
- Experience with GCP Cloud Run.
- Experience with BigQuery.
- Experience with data analysis.
- Experience with containerization.
- Hands-on experience with AI stack technologies.
- Experience with Angular.
- Experience with UI/UX design.
- Experience with solution architecture.
Preferred Qualifications - GCP experience.
- AI Stack experience.
- Experience working with Ford.
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